Lead Platform Engineer
True Talent Solutions Partners
- Location
- Hybrid (South San Francisco, California)
- Compensation
- $205k - $235k/yr
- Employment
- Full-time
- Level
- Senior Level
About the role
True Talent Solutions Partners is seeking a Lead Platform Engineer to design and maintain scalable cloud infrastructure, data pipelines, and workflow orchestration systems for biotechnology sequencing operations. This role supports reliable lab operations and large-scale data processing by integrating compute, AI, and security infrastructure.
Skills
Full job details
About the Role
Lead the compute, data, AI, and security infrastructure behind a biotechnology sequencing operation. This hands-on technical leadership role combines platform engineering with close collaboration across engineering and scientific teams to support reliable lab operations and large-scale data processing.
What You'll Do
Own services that orchestrate lab devices, including robotics, sequencers, and on-premises Linux servers, along with the data ingestion pipeline.
Build cloud infrastructure and data pipelines to store, process, and deliver terabytes of sequencing data.
Design queues, workflow orchestration, and scheduling systems to coordinate millions of bioinformatics tasks.
Develop AI infrastructure and internal tools for operational quality monitoring, logistics coordination, and adaptive bioinformatics analysis.
Lead cross-functional projects from problem definition through production, connecting architecture choices to business impact.
Contribute directly to engineering work while mentoring teammates and communicating clearly across disciplines.
What We're Looking For
At least 5 years of platform, backend, or infrastructure engineering experience, including impactful work at a startup during a period of growth.
Strong AWS orchestration experience, especially ECS, Batch, and Step Functions, plus Python backend development with FastAPI or Django.
Production experience designing reliable distributed systems, including queues, orchestration, and state machines.
Experience with Linux server administration and distributed task queues such as Celery or SQS.
Ability to lead projects and mentor engineers on a small team, with substantial hands-on individual-contributor work.
Experience building LLM or agent systems, including tooling, evaluation, safety and permissions, and prompt and workflow design; familiarity with current AI tools.
A technical degree in computer science, engineering, mathematics, or physics, or equivalent background, and curiosity about biotech and scientific work.
Compensation & Benefits
Base salary: $205,000 to $235,000 annually. Visa sponsorship is available.
Location
Hybrid role based in South San Francisco, California.